QA Engineer
Neuroscale AI5 months ago
Remote, United States or Washington, DC, USASenior / Staff+
Responsibilities
- Perform a deep audit of the current QA setup across ARBI and Athena.
- Define a company-wide QA strategy focusing on stabilization, automation, and quality engineering maturity.
- Design a scalable test architecture using various testing principles.
- Validate implementation against requirements and user stories.
- Test UI, UX, business logic, and various states of the application.
- Take ownership of automated testing for frontend, API, and integration.
- Validate backend services and data processing pipelines.
- Test AI-assisted recruiting workflows for accuracy and bias.
- Create structured bug reports and communicate QA status before releases.
- Build dashboards for test coverage and defect trends.
Requirements
- Experience in Quality Assurance, Quality Engineering, or related roles.
- Experience testing SaaS web products or AI-enabled applications.
- Strong manual QA skills including exploratory testing and bug reporting.
- Hands-on experience with automated testing tools like Cypress or Selenium.
- Strong backend engineering fluency, especially with Python and REST APIs.
- Experience with large-scale datasets and workflow automation.
- Ability to integrate automated tests into CI/CD pipelines.
- Strong systems thinking and quality architecture judgment.
- Ability to operate in a fast-paced startup environment.
- Willingness to relocate or work during Eastern Time business hours.
Benefits
- Competitive base salary commensurate with experience.
- Potential performance incentives and equity participation.
- Medical, dental, vision, and PTO benefits.
- Support for professional growth through courses and conferences.
- Remote-first/hybrid flexibility with occasional in-person collaboration.
Tech Stack
About Neuroscale AI
Neuroscale AI builds Arbi, an agentic AI platform that structures and automates evaluations—resume screening, content/proposal reviews, and rubric-based assessments—for recruiting and enterprise review workflows. It offers cloud or on‑prem deployments built on open‑source models, emphasizing transparency and data control, and provides custom solutions. Privately held and founded in 2024, the company is headquartered in Sterling, Virginia.